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Field
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The Leibniz-Institut für Analytische Wissenschaften - ISAS - e. V. develops efficient analytical methods for health research. Thus, it contributes to the improvement of the prevention, early
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the environment that might later be used for biotechnological or medical purposes. In addition, methods for enhancing phage screening are being developed. What you will do Depending on your area of interest
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Max Planck Institute for Brain Research, Frankfurt am Main | Frankfurt am Main, Hessen | Germany | about 5 hours ago
neuroscience Strong analytical and critical thinking skills A willingness to learn new techniques, including advanced experimental methods and computer programming Excellent verbal and written communication
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Computer-adaptive methods and multi-stage testing Application of machine learning in psychometrics Predictive modeling of educational data Methodological challenges in cohort comparisons Advanced meta
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computer scientist with programming experience, but no background in science communication - or vice versa - we still encourage you to apply. Your tasks and duties will be a subset of the following
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collaboration with partners at the Göttingen Campus and the newly established Lower Saxony Research Center for Artificial Intelligence and Causal Methods in Medicine (CAIMed). Applications from candidates working
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reduction and uncertainty quantification for biological flows. The goal of the project is, in particular, the development of robust methods to quantify the propagation of domain uncertainties in
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integration as well as multimodal data analysis should ideally incorporate user-centered methods for the participatory development of new digital health technologies in order to develop and apply patient
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for the research group "Immersive Media & Communication" in the department "Vision & Imaging Technologies (VIT)". In our national and European research projects, we develop new methods of interactive 3D
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tools? This research area sits at the intersection of Human-Computer Interaction (HCI), Artificial Intelligence (AI), and Software Engineering (SE). The goal is to design and evaluate new interaction